AI-Native Web3 Business Development Lead

About InfraSingularity
InfraSingularity is a Node-as-a-Service operator running validator and node infrastructure across 50+ proof-of-stake networks, with a primary commercial focus on institutional Canton Network operations.
We are an Approved Canton NaaS Provider with Genesis Set status, a Circle Alliance partner, and a top-15 operator by AUM on Symbiotic. We’re a small, distributed team building institutional-grade infrastructure and operations.
The Role
We’re hiring an AI-Native Web3 Business Development Lead with 3+ years of hands-on experience to lead our existing BD team and transform the function into an agent-first operation.
This role is designed for someone who combines:
Strong Web3 knowledge + proven BD execution + advanced AI-tool usage + agentic workflow design + team leadership
This is not a pure AI engineering role, a traditional BD manager role, or a chatbot-building role. You must understand how to generate, qualify, progress, and close real business opportunities—and how to use AI tools and agents to make that process faster and more effective.
You’ll inherit an active BD team, a real pipeline, established workflows, and a partially built agent stack. Your job is to improve commercial performance while finding and implementing the best AI and agent setup for our BD operation.
Our operating model:
Humans own relationships, qualification, negotiation, and closing.
Agents handle research, enrichment, prioritization, outreach operations, follow-ups, and pipeline administration.
What You’ll Own1. BD Performance
Lead and improve the day-to-day performance of the BD team
Own pipeline quality, qualification, conversion, and overall execution
Refine ICPs, messaging, outreach sequences, funnel stages, and channels
Identify funnel leakage and implement measurable improvements
Help the team progress qualified opportunities toward close
2. AI and Agentic BD Transformation
Audit existing workflows and identify where AI agents can create measurable value
Evaluate tools and models—including Claude, ChatGPT, Grok, Perplexity, and emerging AI platforms—to select the best setup for each workflow
Convert repetitive manual processes into reliable agent-driven workflows
Design AI-assisted processes for account research, lead sourcing, enrichment, prioritization, personalized outreach, follow-ups, meeting preparation, CRM administration, and reporting
Understand when to use an AI agent, conventional automation, a human, or no additional tooling
Measure the effect of agents on productivity, pipeline quality, and conversion
Remove tools and workflows that do not produce measurable value
3. Agent Governance
Establish outbound compliance and messaging guardrails
Maintain clear agent activity logs and audit trails
Enforce contact suppression and deduplication
Require human approval for commitments made to counterparties
Define clear boundaries between agent execution and human decisions
4. Team Leadership and Adoption
Manage and work directly with the BD, CRM, and outbound team
Redesign daily workflows around agents and automation
Make agent-driven processes the default—not optional tooling
Coach the team on qualification, outreach, pipeline hygiene, and effective AI usage
Track adoption and continuously remove operational friction
5. Funnel Intelligence
Move the team away from vanity metrics such as emails sent or leads researched.
Build clear reporting across:
Target → Contacted → Engaged → Qualified → Meeting → Opportunity → Negotiation → Closed
Measure:
Stage-by-stage conversion
Drop-offs and funnel leakage
Pipeline velocity
Channel and campaign performance
Lead and opportunity quality
Agent adoption and impact
Human time saved
Revenue outcomes
Required Experience
3+ years of hands-on experience in business development, B2B sales, partnerships, growth, or revenue operations
Strong practical knowledge of the Web3 ecosystem, including protocols, validators, staking, foundations, institutions, and infrastructure providers
Demonstrated experience managing or directly contributing to a real commercial pipeline
Advanced practical experience with Claude, ChatGPT, Grok, Perplexity, or similar AI platforms
Experience designing or operating AI agents and automated BD workflows, beyond using chatbots only for writing
Strong understanding of ICP development, qualification, sequencing, deliverability, pipeline management, negotiation, and conversion
Hands-on experience with CRM and pipeline data, APIs, workflow automation, and analytics
Familiarity with tools such as Apollo, Notion, n8n, SQL, and LLM/agent frameworks
Ability to compare AI tools and models and select the right setup for a specific commercial workflow
Ability to translate business workflows into clear technical requirements and work closely with engineers
Experience leading a team or driving the adoption of new operating processes
Strong analytical, operational, and commercial ownership
A bias toward improving outcomes and killing unused tools—not building tools for their own sake
Nice to Have
Institutional digital-asset BD experience
Familiarity with validator, node, or staking infrastructure
Canton Network ecosystem knowledge
Institutional or enterprise sales experience
Experience building an AI-native sales or BD team
Existing relationships across financial institutions, protocols, foundations, or infrastructure providers

Work arrangement
No